Overview

Brought to you by YData

Dataset statistics

Number of variables33
Number of observations1048575
Missing cells30060590
Missing cells (%)86.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory264.0 MiB
Average record size in memory264.0 B

Variable types

Numeric1
Categorical6
Text11
Unsupported15

Alerts

Carrier has constant value "Airtel"Constant
Unnamed: 26 has constant value "0.9"Constant
Unnamed: 27 has constant value "0.0"Constant
Unnamed: 28 has constant value "user"Constant
Unnamed: 32 has constant value "0.0"Constant
Number is highly overall correlated with Unnamed: 31High correlation
Unnamed: 12 is highly overall correlated with Unnamed: 31High correlation
Unnamed: 31 is highly overall correlated with Number and 1 other fieldsHigh correlation
Unnamed: 12 is highly imbalanced (70.1%)Imbalance
Name has 57060 (5.4%) missing valuesMissing
Gender has 1006524 (96.0%) missing valuesMissing
JobTitle has 1017036 (97.0%) missing valuesMissing
CompanyName has 1033131 (98.5%) missing valuesMissing
Email has 782691 (74.6%) missing valuesMissing
Facebook has 1029196 (98.2%) missing valuesMissing
Twitter has 1040714 (99.3%) missing valuesMissing
Unnamed: 10 has 1035163 (98.7%) missing valuesMissing
Unnamed: 11 has 1041161 (99.3%) missing valuesMissing
Unnamed: 12 has 1045043 (99.7%) missing valuesMissing
Unnamed: 13 has 1047413 (99.9%) missing valuesMissing
Unnamed: 14 has 1048162 (> 99.9%) missing valuesMissing
Unnamed: 15 has 1048457 (> 99.9%) missing valuesMissing
Unnamed: 16 has 1048531 (> 99.9%) missing valuesMissing
Unnamed: 17 has 1048555 (> 99.9%) missing valuesMissing
Unnamed: 18 has 1048561 (> 99.9%) missing valuesMissing
Unnamed: 19 has 1048564 (> 99.9%) missing valuesMissing
Unnamed: 20 has 1048568 (> 99.9%) missing valuesMissing
Unnamed: 21 has 1048569 (> 99.9%) missing valuesMissing
Unnamed: 22 has 1048571 (> 99.9%) missing valuesMissing
Unnamed: 23 has 1048571 (> 99.9%) missing valuesMissing
Unnamed: 24 has 1048571 (> 99.9%) missing valuesMissing
Unnamed: 25 has 1048572 (> 99.9%) missing valuesMissing
Unnamed: 26 has 1048574 (> 99.9%) missing valuesMissing
Unnamed: 27 has 1048574 (> 99.9%) missing valuesMissing
Unnamed: 28 has 1048574 (> 99.9%) missing valuesMissing
Unnamed: 29 has 1048573 (> 99.9%) missing valuesMissing
Unnamed: 30 has 1048572 (> 99.9%) missing valuesMissing
Unnamed: 31 has 1048573 (> 99.9%) missing valuesMissing
Unnamed: 32 has 1048574 (> 99.9%) missing valuesMissing
Unnamed: 31 is uniformly distributedUniform
Number has unique valuesUnique
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-07-18 08:51:44.852370
Analysis finished2024-07-18 08:52:46.006929
Duration1 minute and 1.15 second
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

Number
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1048575
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1758429 × 1011
Minimum9.17032 × 1011
Maximum9.1799549 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 MiB
2024-07-18T14:22:46.488470image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum9.17032 × 1011
5-th percentile9.1703227 × 1011
Q19.1709341 × 1011
median9.1770267 × 1011
Q39.1789389 × 1011
95-th percentile9.1799518 × 1011
Maximum9.1799549 × 1011
Range9.6348589 × 108
Interquartile range (IQR)8.0048319 × 108

Descriptive statistics

Standard deviation3.9533173 × 108
Coefficient of variation (CV)0.00043083968
Kurtosis-1.5734815
Mean9.1758429 × 1011
Median Absolute Deviation (MAD)2.908676 × 108
Skewness-0.45752983
Sum9.6215595 × 1017
Variance1.5628717 × 1017
MonotonicityNot monotonic
2024-07-18T14:22:46.720795image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.170320009 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
9.178934804 × 10111
 
< 0.1%
Other values (1048565) 1048565
> 99.9%
ValueCountFrequency (%)
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
9.170320001 × 10111
< 0.1%
ValueCountFrequency (%)
9.17995486 × 10111
< 0.1%
9.17995486 × 10111
< 0.1%
9.17995486 × 10111
< 0.1%
9.17995486 × 10111
< 0.1%
9.17995486 × 10111
< 0.1%
9.17995486 × 10111
< 0.1%
9.17995486 × 10111
< 0.1%
9.179954859 × 10111
< 0.1%
9.179954859 × 10111
< 0.1%
9.179954859 × 10111
< 0.1%

Carrier
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size8.0 MiB
Airtel
1048575 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6291450
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAirtel
2nd rowAirtel
3rd rowAirtel
4th rowAirtel
5th rowAirtel

Common Values

ValueCountFrequency (%)
Airtel 1048575
100.0%

Length

2024-07-18T14:22:46.869471image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-18T14:22:46.995586image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
ValueCountFrequency (%)
airtel 1048575
100.0%

Most occurring characters

ValueCountFrequency (%)
A 1048575
16.7%
i 1048575
16.7%
r 1048575
16.7%
t 1048575
16.7%
e 1048575
16.7%
l 1048575
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5242875
83.3%
Uppercase Letter 1048575
 
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1048575
20.0%
r 1048575
20.0%
t 1048575
20.0%
e 1048575
20.0%
l 1048575
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 1048575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6291450
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1048575
16.7%
i 1048575
16.7%
r 1048575
16.7%
t 1048575
16.7%
e 1048575
16.7%
l 1048575
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6291450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 1048575
16.7%
i 1048575
16.7%
r 1048575
16.7%
t 1048575
16.7%
e 1048575
16.7%
l 1048575
16.7%

Name
Text

MISSING 

Distinct684244
Distinct (%)69.0%
Missing57060
Missing (%)5.4%
Memory size8.0 MiB
2024-07-18T14:22:47.981548image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length277
Median length105
Mean length11.963313
Min length1

Characters and Unicode

Total characters11861804
Distinct characters195
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique629316 ?
Unique (%)63.5%

Sample

1st rowRaj Kumar. Mncl
2nd rowDeva
3rd rowLakshay
4th rowPrathap
5th rowShekar Chinnu
ValueCountFrequency (%)
reddy 25690
 
1.3%
kumar 25320
 
1.3%
k 18258
 
0.9%
sai 16598
 
0.8%
2 15981
 
0.8%
m 14910
 
0.7%
s 14868
 
0.7%
raju 13802
 
0.7%
p 13567
 
0.7%
b 11636
 
0.6%
Other values (238013) 1849843
91.6%
2024-07-18T14:22:48.937163image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908336
16.1%
1029514
 
8.7%
i 733298
 
6.2%
n 639341
 
5.4%
r 604993
 
5.1%
h 604453
 
5.1%
e 514653
 
4.3%
u 455189
 
3.8%
d 357690
 
3.0%
s 337274
 
2.8%
Other values (185) 4677063
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8574922
72.3%
Uppercase Letter 1980919
 
16.7%
Space Separator 1030181
 
8.7%
Decimal Number 138750
 
1.2%
Other Punctuation 111603
 
0.9%
Currency Symbol 5523
 
< 0.1%
Dash Punctuation 5362
 
< 0.1%
Other Symbol 3394
 
< 0.1%
Math Symbol 2527
 
< 0.1%
Open Punctuation 1985
 
< 0.1%
Other values (7) 6638
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 319575
16.1%
R 188109
 
9.5%
M 159359
 
8.0%
K 154666
 
7.8%
A 150492
 
7.6%
P 135528
 
6.8%
B 111200
 
5.6%
N 106612
 
5.4%
V 95366
 
4.8%
C 75403
 
3.8%
Other values (57) 484609
24.5%
Lowercase Letter
ValueCountFrequency (%)
a 1908336
22.3%
i 733298
 
8.6%
n 639341
 
7.5%
r 604993
 
7.1%
h 604453
 
7.0%
e 514653
 
6.0%
u 455189
 
5.3%
d 357690
 
4.2%
s 337274
 
3.9%
m 319181
 
3.7%
Other values (45) 2100514
24.5%
Other Punctuation
ValueCountFrequency (%)
. 96377
86.4%
@ 2947
 
2.6%
' 2184
 
2.0%
* 1687
 
1.5%
? 1163
 
1.0%
§ 924
 
0.8%
& 845
 
0.8%
# 803
 
0.7%
680
 
0.6%
! 642
 
0.6%
Other values (11) 3351
 
3.0%
Decimal Number
ValueCountFrequency (%)
2 34009
24.5%
1 23029
16.6%
3 14742
10.6%
9 12031
 
8.7%
7 11960
 
8.6%
0 11880
 
8.6%
4 9304
 
6.7%
5 7774
 
5.6%
8 7284
 
5.2%
6 6737
 
4.9%
Math Symbol
ValueCountFrequency (%)
± 1492
59.0%
¬ 696
27.5%
| 136
 
5.4%
+ 87
 
3.4%
~ 79
 
3.1%
< 14
 
0.6%
= 13
 
0.5%
> 10
 
0.4%
Other Symbol
ValueCountFrequency (%)
® 1024
30.2%
¦ 741
21.8%
713
21.0%
578
17.0%
© 338
 
10.0%
Open Punctuation
ValueCountFrequency (%)
759
38.2%
( 630
31.7%
532
26.8%
{ 43
 
2.2%
[ 21
 
1.1%
Initial Punctuation
ValueCountFrequency (%)
646
39.6%
« 443
27.2%
282
17.3%
259
15.9%
Final Punctuation
ValueCountFrequency (%)
494
38.7%
309
24.2%
» 237
18.6%
236
18.5%
Dash Punctuation
ValueCountFrequency (%)
- 4990
93.1%
197
 
3.7%
175
 
3.3%
Currency Symbol
ValueCountFrequency (%)
¤ 4100
74.2%
$ 913
 
16.5%
510
 
9.2%
Close Punctuation
ValueCountFrequency (%)
) 721
91.8%
} 44
 
5.6%
] 20
 
2.5%
Space Separator
ValueCountFrequency (%)
1029514
99.9%
  667
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 62
72.1%
` 24
 
27.9%
Control
ValueCountFrequency (%)
˜ 1526
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 754
100.0%
Format
ValueCountFrequency (%)
­ 581
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10509756
88.6%
Common 1306248
 
11.0%
Cyrillic 45800
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1029514
78.8%
. 96377
 
7.4%
2 34009
 
2.6%
1 23029
 
1.8%
3 14742
 
1.1%
9 12031
 
0.9%
7 11960
 
0.9%
0 11880
 
0.9%
4 9304
 
0.7%
5 7774
 
0.6%
Other values (64) 55628
 
4.3%
Cyrillic
ValueCountFrequency (%)
Г 8505
18.6%
а 5079
 
11.1%
џ 2861
 
6.2%
р 2273
 
5.0%
Ш 2107
 
4.6%
в 1901
 
4.2%
Е 1682
 
3.7%
Щ 1562
 
3.4%
Ґ 1352
 
3.0%
ё 1263
 
2.8%
Other values (59) 17215
37.6%
Latin
ValueCountFrequency (%)
a 1908336
18.2%
i 733298
 
7.0%
n 639341
 
6.1%
r 604993
 
5.8%
h 604453
 
5.8%
e 514653
 
4.9%
u 455189
 
4.3%
d 357690
 
3.4%
s 337274
 
3.2%
S 319575
 
3.0%
Other values (42) 4034954
38.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11794310
99.4%
Cyrillic 45800
 
0.4%
None 13657
 
0.1%
Punctuation 6236
 
0.1%
Letterlike Symbols 1291
 
< 0.1%
Currency Symbols 510
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908336
16.2%
1029514
 
8.7%
i 733298
 
6.2%
n 639341
 
5.4%
r 604993
 
5.1%
h 604453
 
5.1%
e 514653
 
4.4%
u 455189
 
3.9%
d 357690
 
3.0%
s 337274
 
2.9%
Other values (83) 4609569
39.1%
Cyrillic
ValueCountFrequency (%)
Г 8505
18.6%
а 5079
 
11.1%
џ 2861
 
6.2%
р 2273
 
5.0%
Ш 2107
 
4.6%
в 1901
 
4.2%
Е 1682
 
3.7%
Щ 1562
 
3.4%
Ґ 1352
 
3.0%
ё 1263
 
2.8%
Other values (59) 17215
37.6%
None
ValueCountFrequency (%)
¤ 4100
30.0%
˜ 1526
 
11.2%
± 1492
 
10.9%
® 1024
 
7.5%
§ 924
 
6.8%
¦ 741
 
5.4%
¬ 696
 
5.1%
  667
 
4.9%
­ 581
 
4.3%
« 443
 
3.2%
Other values (5) 1463
 
10.7%
Punctuation
ValueCountFrequency (%)
759
12.2%
680
10.9%
646
10.4%
539
8.6%
532
8.5%
524
8.4%
494
7.9%
478
7.7%
309
 
5.0%
282
 
4.5%
Other values (5) 993
15.9%
Letterlike Symbols
ValueCountFrequency (%)
713
55.2%
578
44.8%
Currency Symbols
ValueCountFrequency (%)
510
100.0%

Gender
Text

MISSING 

Distinct2005
Distinct (%)4.8%
Missing1006524
Missing (%)96.0%
Memory size8.0 MiB
2024-07-18T14:22:49.599985image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length57
Median length4
Mean length4.4158522
Min length1

Characters and Unicode

Total characters185691
Distinct characters132
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1806 ?
Unique (%)4.3%

Sample

1st rowMALE
2nd rowMALE
3rd rowMALE
4th rowFEMALE
5th rowMALE
ValueCountFrequency (%)
male 32674
76.4%
female 6082
 
14.2%
v 153
 
0.4%
2 139
 
0.3%
i 75
 
0.2%
m 75
 
0.2%
p 72
 
0.2%
s 70
 
0.2%
k 62
 
0.1%
r 57
 
0.1%
Other values (1983) 3301
 
7.7%
2024-07-18T14:22:51.430180image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 44863
24.2%
M 38985
21.0%
A 38901
20.9%
L 38812
20.9%
F 6126
 
3.3%
2544
 
1.4%
a 2362
 
1.3%
r 1014
 
0.5%
n 800
 
0.4%
i 788
 
0.4%
Other values (122) 10496
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 169701
91.4%
Lowercase Letter 12231
 
6.6%
Space Separator 2547
 
1.4%
Decimal Number 703
 
0.4%
Other Punctuation 417
 
0.2%
Dash Punctuation 27
 
< 0.1%
Other Symbol 17
 
< 0.1%
Currency Symbol 16
 
< 0.1%
Initial Punctuation 11
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Other values (5) 15
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 44863
26.4%
M 38985
23.0%
A 38901
22.9%
L 38812
22.9%
F 6126
 
3.6%
S 227
 
0.1%
V 210
 
0.1%
R 176
 
0.1%
B 165
 
0.1%
P 162
 
0.1%
Other values (34) 1074
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
a 2362
19.3%
r 1014
 
8.3%
n 800
 
6.5%
i 788
 
6.4%
e 721
 
5.9%
d 596
 
4.9%
s 594
 
4.9%
u 587
 
4.8%
h 569
 
4.7%
l 519
 
4.2%
Other values (29) 3681
30.1%
Other Punctuation
ValueCountFrequency (%)
. 333
79.9%
@ 16
 
3.8%
& 13
 
3.1%
? 10
 
2.4%
* 10
 
2.4%
' 9
 
2.2%
: 8
 
1.9%
; 4
 
1.0%
§ 3
 
0.7%
3
 
0.7%
Other values (5) 8
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 204
29.0%
1 119
16.9%
3 79
 
11.2%
0 77
 
11.0%
7 63
 
9.0%
4 46
 
6.5%
8 35
 
5.0%
5 29
 
4.1%
9 27
 
3.8%
6 24
 
3.4%
Other Symbol
ValueCountFrequency (%)
© 9
52.9%
4
23.5%
® 2
 
11.8%
¦ 1
 
5.9%
1
 
5.9%
Initial Punctuation
ValueCountFrequency (%)
8
72.7%
« 2
 
18.2%
1
 
9.1%
Currency Symbol
ValueCountFrequency (%)
¤ 7
43.8%
5
31.2%
$ 4
25.0%
Open Punctuation
ValueCountFrequency (%)
3
50.0%
( 2
33.3%
1
 
16.7%
Space Separator
ValueCountFrequency (%)
2544
99.9%
  3
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 24
88.9%
3
 
11.1%
Math Symbol
ValueCountFrequency (%)
¬ 3
60.0%
± 2
40.0%
Control
ValueCountFrequency (%)
˜ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 181766
97.9%
Common 3760
 
2.0%
Cyrillic 165
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 44863
24.7%
M 38985
21.4%
A 38901
21.4%
L 38812
21.4%
F 6126
 
3.4%
a 2362
 
1.3%
r 1014
 
0.6%
n 800
 
0.4%
i 788
 
0.4%
e 721
 
0.4%
Other values (42) 8394
 
4.6%
Common
ValueCountFrequency (%)
2544
67.7%
. 333
 
8.9%
2 204
 
5.4%
1 119
 
3.2%
3 79
 
2.1%
0 77
 
2.0%
7 63
 
1.7%
4 46
 
1.2%
8 35
 
0.9%
5 29
 
0.8%
Other values (40) 231
 
6.1%
Cyrillic
ValueCountFrequency (%)
Г 19
 
11.5%
џ 18
 
10.9%
р 15
 
9.1%
в 14
 
8.5%
а 12
 
7.3%
Щ 12
 
7.3%
Ђ 9
 
5.5%
Ш 8
 
4.8%
ў 5
 
3.0%
Ќ 5
 
3.0%
Other values (20) 48
29.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185449
99.9%
Cyrillic 165
 
0.1%
None 41
 
< 0.1%
Punctuation 26
 
< 0.1%
Currency Symbols 5
 
< 0.1%
Letterlike Symbols 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 44863
24.2%
M 38985
21.0%
A 38901
21.0%
L 38812
20.9%
F 6126
 
3.3%
2544
 
1.4%
a 2362
 
1.3%
r 1014
 
0.5%
n 800
 
0.4%
i 788
 
0.4%
Other values (65) 10254
 
5.5%
Cyrillic
ValueCountFrequency (%)
Г 19
 
11.5%
џ 18
 
10.9%
р 15
 
9.1%
в 14
 
8.5%
а 12
 
7.3%
Щ 12
 
7.3%
Ђ 9
 
5.5%
Ш 8
 
4.8%
ў 5
 
3.0%
Ќ 5
 
3.0%
Other values (20) 48
29.1%
None
ValueCountFrequency (%)
© 9
22.0%
¤ 7
17.1%
˜ 3
 
7.3%
§ 3
 
7.3%
  3
 
7.3%
¬ 3
 
7.3%
® 2
 
4.9%
« 2
 
4.9%
­ 2
 
4.9%
± 2
 
4.9%
Other values (4) 5
12.2%
Punctuation
ValueCountFrequency (%)
8
30.8%
3
 
11.5%
3
 
11.5%
3
 
11.5%
3
 
11.5%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Currency Symbols
ValueCountFrequency (%)
5
100.0%
Letterlike Symbols
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Distinct6282
Distinct (%)0.6%
Missing3192
Missing (%)0.3%
Memory size8.0 MiB
2024-07-18T14:22:52.381718image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length101
Median length15
Mean length15.649854
Min length1

Characters and Unicode

Total characters16360091
Distinct characters158
Distinct categories16 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5610 ?
Unique (%)0.5%

Sample

1st rowAndhra Pradesh
2nd rowAndhra Pradesh
3rd rowAndhra Pradesh
4th rowAndhra Pradesh
5th rowAndhra Pradesh in
ValueCountFrequency (%)
andhra 998753
39.4%
pradesh 998753
39.4%
in 490053
19.3%
local 9411
 
0.4%
ahmedabad 9410
 
0.4%
hyderabad 6760
 
0.3%
visakhapatnam 799
 
< 0.1%
vijayawada 544
 
< 0.1%
guntur 458
 
< 0.1%
vizag 448
 
< 0.1%
Other values (5871) 18904
 
0.7%
2024-07-18T14:22:53.822817image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2071118
12.7%
2044440
12.5%
d 2036339
12.4%
r 2014374
12.3%
h 2012117
12.3%
n 1498562
9.2%
e 1021645
6.2%
A 1009549
6.2%
s 1001767
6.1%
P 999424
6.1%
Other values (148) 650756
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12269097
75.0%
Space Separator 2044445
 
12.5%
Uppercase Letter 2041322
 
12.5%
Decimal Number 3524
 
< 0.1%
Other Punctuation 924
 
< 0.1%
Dash Punctuation 309
 
< 0.1%
Open Punctuation 146
 
< 0.1%
Close Punctuation 128
 
< 0.1%
Math Symbol 45
 
< 0.1%
Other Symbol 39
 
< 0.1%
Other values (6) 112
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1009549
49.5%
P 999424
49.0%
L 9741
 
0.5%
H 7381
 
0.4%
V 2286
 
0.1%
K 1637
 
0.1%
N 1435
 
0.1%
S 1151
 
0.1%
B 1063
 
0.1%
M 1015
 
< 0.1%
Other values (39) 6640
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 2071118
16.9%
d 2036339
16.6%
r 2014374
16.4%
h 2012117
16.4%
n 1498562
12.2%
e 1021645
8.3%
s 1001767
8.2%
i 499196
 
4.1%
b 17964
 
0.1%
l 16856
 
0.1%
Other values (33) 79159
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 613
66.3%
/ 155
 
16.8%
: 46
 
5.0%
* 19
 
2.1%
@ 15
 
1.6%
# 13
 
1.4%
' 10
 
1.1%
& 9
 
1.0%
§ 9
 
1.0%
7
 
0.8%
Other values (11) 28
 
3.0%
Decimal Number
ValueCountFrequency (%)
0 837
23.8%
1 536
15.2%
5 512
14.5%
2 404
11.5%
3 317
 
9.0%
4 231
 
6.6%
6 197
 
5.6%
8 186
 
5.3%
7 170
 
4.8%
9 134
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 128
87.7%
13
 
8.9%
3
 
2.1%
{ 1
 
0.7%
[ 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
± 32
71.1%
¬ 7
 
15.6%
+ 3
 
6.7%
= 2
 
4.4%
~ 1
 
2.2%
Other Symbol
ValueCountFrequency (%)
¦ 18
46.2%
12
30.8%
4
 
10.3%
® 4
 
10.3%
© 1
 
2.6%
Initial Punctuation
ValueCountFrequency (%)
6
42.9%
4
28.6%
« 3
21.4%
1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 126
98.4%
] 1
 
0.8%
} 1
 
0.8%
Final Punctuation
ValueCountFrequency (%)
24
77.4%
5
 
16.1%
2
 
6.5%
Currency Symbol
ValueCountFrequency (%)
¤ 21
72.4%
5
 
17.2%
$ 3
 
10.3%
Space Separator
ValueCountFrequency (%)
2044440
> 99.9%
  5
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 308
99.7%
1
 
0.3%
Control
ValueCountFrequency (%)
˜ 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Format
ValueCountFrequency (%)
­ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14309985
87.5%
Common 2049672
 
12.5%
Cyrillic 434
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2044440
99.7%
0 837
 
< 0.1%
. 613
 
< 0.1%
1 536
 
< 0.1%
5 512
 
< 0.1%
2 404
 
< 0.1%
3 317
 
< 0.1%
- 308
 
< 0.1%
4 231
 
< 0.1%
6 197
 
< 0.1%
Other values (56) 1277
 
0.1%
Latin
ValueCountFrequency (%)
a 2071118
14.5%
d 2036339
14.2%
r 2014374
14.1%
h 2012117
14.1%
n 1498562
10.5%
e 1021645
7.1%
A 1009549
7.1%
s 1001767
7.0%
P 999424
7.0%
i 499196
 
3.5%
Other values (42) 145894
 
1.0%
Cyrillic
ValueCountFrequency (%)
џ 47
 
10.8%
р 45
 
10.4%
О 36
 
8.3%
а 33
 
7.6%
Г 31
 
7.1%
в 26
 
6.0%
ё 19
 
4.4%
Ш 18
 
4.1%
С 18
 
4.1%
Џ 14
 
3.2%
Other values (30) 147
33.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16359426
> 99.9%
Cyrillic 434
 
< 0.1%
None 135
 
< 0.1%
Punctuation 75
 
< 0.1%
Letterlike Symbols 16
 
< 0.1%
Currency Symbols 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2071118
12.7%
2044440
12.5%
d 2036339
12.4%
r 2014374
12.3%
h 2012117
12.3%
n 1498562
9.2%
e 1021645
6.2%
A 1009549
6.2%
s 1001767
6.1%
P 999424
6.1%
Other values (78) 650091
 
4.0%
Cyrillic
ValueCountFrequency (%)
џ 47
 
10.8%
р 45
 
10.4%
О 36
 
8.3%
а 33
 
7.6%
Г 31
 
7.1%
в 26
 
6.0%
ё 19
 
4.4%
Ш 18
 
4.1%
С 18
 
4.1%
Џ 14
 
3.2%
Other values (30) 147
33.9%
None
ValueCountFrequency (%)
± 32
23.7%
˜ 23
17.0%
¤ 21
15.6%
¦ 18
13.3%
§ 9
 
6.7%
­ 7
 
5.2%
¬ 7
 
5.2%
  5
 
3.7%
4
 
3.0%
® 4
 
3.0%
Other values (3) 5
 
3.7%
Punctuation
ValueCountFrequency (%)
24
32.0%
13
17.3%
7
 
9.3%
6
 
8.0%
5
 
6.7%
4
 
5.3%
3
 
4.0%
3
 
4.0%
3
 
4.0%
2
 
2.7%
Other values (4) 5
 
6.7%
Letterlike Symbols
ValueCountFrequency (%)
12
75.0%
4
 
25.0%
Currency Symbols
ValueCountFrequency (%)
5
100.0%

JobTitle
Text

MISSING 

Distinct6469
Distinct (%)20.5%
Missing1017036
Missing (%)97.0%
Memory size8.0 MiB
2024-07-18T14:22:54.777211image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length100
Median length79
Mean length9.5300739
Min length1

Characters and Unicode

Total characters300569
Distinct characters166
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5261 ?
Unique (%)16.7%

Sample

1st row Andhra Pradesh proddatur
2nd row India New Delhi
3rd row500052
4th row in
5th rowAndhra Pradesh
ValueCountFrequency (%)
in 9922
21.6%
gujarat 9411
20.5%
pradesh 4313
 
9.4%
andhra 4298
 
9.3%
india 1790
 
3.9%
hyderabad 1428
 
3.1%
vijayawada 310
 
0.7%
warangal 186
 
0.4%
karimnagar 169
 
0.4%
bangalore 167
 
0.4%
Other values (5772) 13991
30.4%
2024-07-18T14:22:56.305149image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43768
14.6%
a 43685
14.5%
r 24928
 
8.3%
n 20806
 
6.9%
i 16604
 
5.5%
d 15989
 
5.3%
t 12952
 
4.3%
u 11901
 
4.0%
e 10987
 
3.7%
h 10822
 
3.6%
Other values (156) 88127
29.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 208363
69.3%
Space Separator 43775
 
14.6%
Uppercase Letter 32192
 
10.7%
Decimal Number 14845
 
4.9%
Other Punctuation 843
 
0.3%
Open Punctuation 83
 
< 0.1%
Close Punctuation 72
 
< 0.1%
Dash Punctuation 70
 
< 0.1%
Control 66
 
< 0.1%
Currency Symbol 56
 
< 0.1%
Other values (7) 204
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 9735
30.2%
A 5265
16.4%
P 4748
14.7%
I 2123
 
6.6%
H 1801
 
5.6%
S 838
 
2.6%
M 743
 
2.3%
N 658
 
2.0%
C 602
 
1.9%
T 591
 
1.8%
Other values (44) 5088
15.8%
Lowercase Letter
ValueCountFrequency (%)
a 43685
21.0%
r 24928
12.0%
n 20806
10.0%
i 16604
 
8.0%
d 15989
 
7.7%
t 12952
 
6.2%
u 11901
 
5.7%
e 10987
 
5.3%
h 10822
 
5.2%
j 10000
 
4.8%
Other values (37) 29689
14.2%
Other Punctuation
ValueCountFrequency (%)
. 577
68.4%
@ 47
 
5.6%
' 37
 
4.4%
& 35
 
4.2%
* 28
 
3.3%
/ 24
 
2.8%
# 19
 
2.3%
? 15
 
1.8%
13
 
1.5%
! 11
 
1.3%
Other values (10) 37
 
4.4%
Decimal Number
ValueCountFrequency (%)
0 4147
27.9%
5 2978
20.1%
1 1792
12.1%
2 1642
 
11.1%
3 1371
 
9.2%
4 829
 
5.6%
6 645
 
4.3%
7 584
 
3.9%
8 506
 
3.4%
9 351
 
2.4%
Other Symbol
ValueCountFrequency (%)
21
47.7%
¦ 9
20.5%
® 6
 
13.6%
© 5
 
11.4%
3
 
6.8%
Open Punctuation
ValueCountFrequency (%)
( 70
84.3%
7
 
8.4%
5
 
6.0%
{ 1
 
1.2%
Final Punctuation
ValueCountFrequency (%)
21
47.7%
15
34.1%
6
 
13.6%
» 2
 
4.5%
Initial Punctuation
ValueCountFrequency (%)
20
37.0%
18
33.3%
« 9
16.7%
7
 
13.0%
Math Symbol
ValueCountFrequency (%)
± 16
80.0%
¬ 2
 
10.0%
~ 1
 
5.0%
+ 1
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
82.9%
7
 
10.0%
5
 
7.1%
Currency Symbol
ValueCountFrequency (%)
¤ 36
64.3%
$ 19
33.9%
1
 
1.8%
Space Separator
ValueCountFrequency (%)
43768
> 99.9%
  7
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 71
98.6%
} 1
 
1.4%
Control
ValueCountFrequency (%)
˜ 66
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 37
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 239686
79.7%
Common 60015
 
20.0%
Cyrillic 868
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
43768
72.9%
0 4147
 
6.9%
5 2978
 
5.0%
1 1792
 
3.0%
2 1642
 
2.7%
3 1371
 
2.3%
4 829
 
1.4%
6 645
 
1.1%
7 584
 
1.0%
. 577
 
1.0%
Other values (56) 1682
 
2.8%
Latin
ValueCountFrequency (%)
a 43685
18.2%
r 24928
10.4%
n 20806
 
8.7%
i 16604
 
6.9%
d 15989
 
6.7%
t 12952
 
5.4%
u 11901
 
5.0%
e 10987
 
4.6%
h 10822
 
4.5%
j 10000
 
4.2%
Other values (42) 61012
25.5%
Cyrillic
ValueCountFrequency (%)
џ 151
17.4%
р 137
15.8%
Г 76
 
8.8%
в 60
 
6.9%
ђ 30
 
3.5%
Д 25
 
2.9%
а 23
 
2.6%
Џ 22
 
2.5%
Љ 21
 
2.4%
ё 21
 
2.4%
Other values (38) 302
34.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 299363
99.6%
Cyrillic 868
 
0.3%
None 170
 
0.1%
Punctuation 143
 
< 0.1%
Letterlike Symbols 24
 
< 0.1%
Currency Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43768
14.6%
a 43685
14.6%
r 24928
 
8.3%
n 20806
 
7.0%
i 16604
 
5.5%
d 15989
 
5.3%
t 12952
 
4.3%
u 11901
 
4.0%
e 10987
 
3.7%
h 10822
 
3.6%
Other values (75) 86921
29.0%
Cyrillic
ValueCountFrequency (%)
џ 151
17.4%
р 137
15.8%
Г 76
 
8.8%
в 60
 
6.9%
ђ 30
 
3.5%
Д 25
 
2.9%
а 23
 
2.6%
Џ 22
 
2.5%
Љ 21
 
2.4%
ё 21
 
2.4%
Other values (38) 302
34.8%
None
ValueCountFrequency (%)
˜ 66
38.8%
¤ 36
21.2%
± 16
 
9.4%
« 9
 
5.3%
¦ 9
 
5.3%
  7
 
4.1%
® 6
 
3.5%
§ 6
 
3.5%
© 5
 
2.9%
3
 
1.8%
Other values (5) 7
 
4.1%
Letterlike Symbols
ValueCountFrequency (%)
21
87.5%
3
 
12.5%
Punctuation
ValueCountFrequency (%)
21
14.7%
20
14.0%
18
12.6%
15
10.5%
13
9.1%
7
 
4.9%
7
 
4.9%
7
 
4.9%
7
 
4.9%
6
 
4.2%
Other values (5) 22
15.4%
Currency Symbols
ValueCountFrequency (%)
1
100.0%

CompanyName
Text

MISSING 

Distinct6682
Distinct (%)43.3%
Missing1033131
Missing (%)98.5%
Memory size8.0 MiB
2024-07-18T14:22:57.655175image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length64
Median length54
Mean length9.3054908
Min length1

Characters and Unicode

Total characters143714
Distinct characters169
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5747 ?
Unique (%)37.2%

Sample

1st row kadapa
2nd row India
3rd row Hyderabad
4th row Tirupati
5th row Karnataka
ValueCountFrequency (%)
india 2283
 
10.3%
in 1892
 
8.6%
pradesh 1241
 
5.6%
andhra 1228
 
5.6%
hyderabad 572
 
2.6%
ltd 174
 
0.8%
student 157
 
0.7%
135
 
0.6%
police 110
 
0.5%
bank 107
 
0.5%
Other values (6140) 14198
64.3%
2024-07-18T14:22:59.726990image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16512
 
11.5%
14749
 
10.3%
n 10576
 
7.4%
i 9852
 
6.9%
d 8758
 
6.1%
r 8496
 
5.9%
e 7608
 
5.3%
h 4651
 
3.2%
t 4643
 
3.2%
s 4399
 
3.1%
Other values (159) 53470
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 101384
70.5%
Uppercase Letter 24194
 
16.8%
Space Separator 14754
 
10.3%
Decimal Number 1904
 
1.3%
Other Punctuation 1010
 
0.7%
Dash Punctuation 75
 
0.1%
Open Punctuation 73
 
0.1%
Control 55
 
< 0.1%
Other Symbol 48
 
< 0.1%
Close Punctuation 42
 
< 0.1%
Other values (7) 175
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 3156
13.0%
A 2842
 
11.7%
P 2343
 
9.7%
S 1904
 
7.9%
H 1324
 
5.5%
C 1149
 
4.7%
T 1082
 
4.5%
M 1073
 
4.4%
R 904
 
3.7%
N 900
 
3.7%
Other values (44) 7517
31.1%
Lowercase Letter
ValueCountFrequency (%)
a 16512
16.3%
n 10576
10.4%
i 9852
9.7%
d 8758
8.6%
r 8496
 
8.4%
e 7608
 
7.5%
h 4651
 
4.6%
t 4643
 
4.6%
s 4399
 
4.3%
o 4067
 
4.0%
Other values (35) 21822
21.5%
Other Punctuation
ValueCountFrequency (%)
. 678
67.1%
& 103
 
10.2%
* 40
 
4.0%
' 40
 
4.0%
@ 30
 
3.0%
/ 21
 
2.1%
? 21
 
2.1%
: 13
 
1.3%
11
 
1.1%
§ 9
 
0.9%
Other values (9) 44
 
4.4%
Decimal Number
ValueCountFrequency (%)
0 474
24.9%
5 303
15.9%
1 231
12.1%
2 227
11.9%
3 183
 
9.6%
4 125
 
6.6%
7 104
 
5.5%
9 91
 
4.8%
6 90
 
4.7%
8 76
 
4.0%
Math Symbol
ValueCountFrequency (%)
± 14
40.0%
| 8
22.9%
= 4
 
11.4%
¬ 4
 
11.4%
~ 2
 
5.7%
< 1
 
2.9%
> 1
 
2.9%
+ 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 38
52.1%
22
30.1%
8
 
11.0%
{ 3
 
4.1%
[ 2
 
2.7%
Other Symbol
ValueCountFrequency (%)
21
43.8%
9
18.8%
® 7
 
14.6%
¦ 6
 
12.5%
© 5
 
10.4%
Final Punctuation
ValueCountFrequency (%)
28
71.8%
9
 
23.1%
1
 
2.6%
» 1
 
2.6%
Initial Punctuation
ValueCountFrequency (%)
18
60.0%
6
 
20.0%
4
 
13.3%
« 2
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 56
74.7%
13
 
17.3%
6
 
8.0%
Close Punctuation
ValueCountFrequency (%)
) 37
88.1%
} 3
 
7.1%
] 2
 
4.8%
Currency Symbol
ValueCountFrequency (%)
¤ 28
70.0%
$ 6
 
15.0%
6
 
15.0%
Space Separator
ValueCountFrequency (%)
14749
> 99.9%
  5
 
< 0.1%
Control
ValueCountFrequency (%)
˜ 55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Format
ValueCountFrequency (%)
­ 10
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 124806
86.8%
Common 18136
 
12.6%
Cyrillic 772
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
14749
81.3%
. 678
 
3.7%
0 474
 
2.6%
5 303
 
1.7%
1 231
 
1.3%
2 227
 
1.3%
3 183
 
1.0%
4 125
 
0.7%
7 104
 
0.6%
& 103
 
0.6%
Other values (60) 959
 
5.3%
Latin
ValueCountFrequency (%)
a 16512
 
13.2%
n 10576
 
8.5%
i 9852
 
7.9%
d 8758
 
7.0%
r 8496
 
6.8%
e 7608
 
6.1%
h 4651
 
3.7%
t 4643
 
3.7%
s 4399
 
3.5%
o 4067
 
3.3%
Other values (42) 45244
36.3%
Cyrillic
ValueCountFrequency (%)
џ 110
 
14.2%
р 101
 
13.1%
в 79
 
10.2%
Г 63
 
8.2%
Џ 33
 
4.3%
ё 29
 
3.8%
п 21
 
2.7%
С 18
 
2.3%
а 18
 
2.3%
О 16
 
2.1%
Other values (37) 284
36.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142604
99.2%
Cyrillic 772
 
0.5%
Punctuation 153
 
0.1%
None 149
 
0.1%
Letterlike Symbols 30
 
< 0.1%
Currency Symbols 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 16512
 
11.6%
14749
 
10.3%
n 10576
 
7.4%
i 9852
 
6.9%
d 8758
 
6.1%
r 8496
 
6.0%
e 7608
 
5.3%
h 4651
 
3.3%
t 4643
 
3.3%
s 4399
 
3.1%
Other values (81) 52360
36.7%
Cyrillic
ValueCountFrequency (%)
џ 110
 
14.2%
р 101
 
13.1%
в 79
 
10.2%
Г 63
 
8.2%
Џ 33
 
4.3%
ё 29
 
3.8%
п 21
 
2.7%
С 18
 
2.3%
а 18
 
2.3%
О 16
 
2.1%
Other values (37) 284
36.8%
None
ValueCountFrequency (%)
˜ 55
36.9%
¤ 28
18.8%
± 14
 
9.4%
­ 10
 
6.7%
§ 9
 
6.0%
® 7
 
4.7%
¦ 6
 
4.0%
© 5
 
3.4%
  5
 
3.4%
¬ 4
 
2.7%
Other values (3) 6
 
4.0%
Punctuation
ValueCountFrequency (%)
28
18.3%
22
14.4%
18
11.8%
13
8.5%
11
 
7.2%
9
 
5.9%
9
 
5.9%
8
 
5.2%
8
 
5.2%
6
 
3.9%
Other values (5) 21
13.7%
Letterlike Symbols
ValueCountFrequency (%)
21
70.0%
9
30.0%
Currency Symbols
ValueCountFrequency (%)
6
100.0%

Email
Text

MISSING 

Distinct258435
Distinct (%)97.2%
Missing782691
Missing (%)74.6%
Memory size8.0 MiB
2024-07-18T14:23:00.872407image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length52
Median length45
Mean length23.463988
Min length1

Characters and Unicode

Total characters6238699
Distinct characters117
Distinct categories16 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257384 ?
Unique (%)96.8%

Sample

1st rowshekarchinnu749@gmail.com
2nd rowsubbaramireddy0@gmail.com
3rd rowthativenkatesh2000@gmail.com
4th rowmanibhararth@gmail.com
5th row Andhra Pradesh
ValueCountFrequency (%)
in 5423
 
2.0%
pradesh 511
 
0.2%
andhra 510
 
0.2%
hyderabad 74
 
< 0.1%
abc@gmail.com 37
 
< 0.1%
student 35
 
< 0.1%
india 34
 
< 0.1%
ltd 27
 
< 0.1%
22
 
< 0.1%
bank 21
 
< 0.1%
Other values (258541) 260538
97.5%
2024-07-18T14:23:02.632739image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 848680
 
13.6%
m 634170
 
10.2%
i 483816
 
7.8%
l 360307
 
5.8%
o 341022
 
5.5%
. 305817
 
4.9%
g 300173
 
4.8%
c 290561
 
4.7%
@ 258469
 
4.1%
r 228923
 
3.7%
Other values (107) 2186761
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5093759
81.6%
Other Punctuation 564339
 
9.0%
Decimal Number 554687
 
8.9%
Uppercase Letter 16044
 
0.3%
Space Separator 7682
 
0.1%
Connector Punctuation 1954
 
< 0.1%
Dash Punctuation 169
 
< 0.1%
Close Punctuation 13
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Math Symbol 11
 
< 0.1%
Other values (6) 29
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2081
13.0%
S 1678
 
10.5%
R 1211
 
7.5%
P 1183
 
7.4%
M 1174
 
7.3%
G 1012
 
6.3%
N 848
 
5.3%
K 738
 
4.6%
I 634
 
4.0%
C 609
 
3.8%
Other values (28) 4876
30.4%
Lowercase Letter
ValueCountFrequency (%)
a 848680
16.7%
m 634170
12.4%
i 483816
9.5%
l 360307
 
7.1%
o 341022
 
6.7%
g 300173
 
5.9%
c 290561
 
5.7%
r 228923
 
4.5%
n 214377
 
4.2%
h 196704
 
3.9%
Other values (27) 1195026
23.5%
Other Punctuation
ValueCountFrequency (%)
. 305817
54.2%
@ 258469
45.8%
& 22
 
< 0.1%
! 10
 
< 0.1%
' 8
 
< 0.1%
* 5
 
< 0.1%
: 2
 
< 0.1%
/ 2
 
< 0.1%
1
 
< 0.1%
§ 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 83164
15.0%
9 70252
12.7%
2 64631
11.7%
0 61262
11.0%
3 54000
9.7%
7 50558
9.1%
4 46312
8.3%
8 43612
7.9%
5 40637
7.3%
6 40259
7.3%
Math Symbol
ValueCountFrequency (%)
¬ 4
36.4%
± 4
36.4%
+ 2
18.2%
| 1
 
9.1%
Final Punctuation
ValueCountFrequency (%)
6
66.7%
2
 
22.2%
1
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 168
99.4%
1
 
0.6%
Currency Symbol
ValueCountFrequency (%)
$ 4
80.0%
¤ 1
 
20.0%
Initial Punctuation
ValueCountFrequency (%)
« 4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
7682
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1954
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Control
ValueCountFrequency (%)
˜ 5
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5109713
81.9%
Common 1128896
 
18.1%
Cyrillic 90
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 848680
16.6%
m 634170
12.4%
i 483816
 
9.5%
l 360307
 
7.1%
o 341022
 
6.7%
g 300173
 
5.9%
c 290561
 
5.7%
r 228923
 
4.5%
n 214377
 
4.2%
h 196704
 
3.8%
Other values (42) 1210980
23.7%
Common
ValueCountFrequency (%)
. 305817
27.1%
@ 258469
22.9%
1 83164
 
7.4%
9 70252
 
6.2%
2 64631
 
5.7%
0 61262
 
5.4%
3 54000
 
4.8%
7 50558
 
4.5%
4 46312
 
4.1%
8 43612
 
3.9%
Other values (32) 90819
 
8.0%
Cyrillic
ValueCountFrequency (%)
џ 18
20.0%
р 15
16.7%
Д 10
11.1%
Г 5
 
5.6%
Ќ 5
 
5.6%
Џ 4
 
4.4%
Е 4
 
4.4%
Ђ 3
 
3.3%
а 3
 
3.3%
О 3
 
3.3%
Other values (13) 20
22.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6238572
> 99.9%
Cyrillic 90
 
< 0.1%
None 22
 
< 0.1%
Punctuation 12
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 848680
 
13.6%
m 634170
 
10.2%
i 483816
 
7.8%
l 360307
 
5.8%
o 341022
 
5.5%
. 305817
 
4.9%
g 300173
 
4.8%
c 290561
 
4.7%
@ 258469
 
4.1%
r 228923
 
3.7%
Other values (69) 2186634
35.1%
Cyrillic
ValueCountFrequency (%)
џ 18
20.0%
р 15
16.7%
Д 10
11.1%
Г 5
 
5.6%
Ќ 5
 
5.6%
Џ 4
 
4.4%
Е 4
 
4.4%
Ђ 3
 
3.3%
а 3
 
3.3%
О 3
 
3.3%
Other values (13) 20
22.2%
Punctuation
ValueCountFrequency (%)
6
50.0%
2
 
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
None
ValueCountFrequency (%)
˜ 5
22.7%
¬ 4
18.2%
± 4
18.2%
« 4
18.2%
­ 2
 
9.1%
¤ 1
 
4.5%
1
 
4.5%
§ 1
 
4.5%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%

Facebook
Text

MISSING 

Distinct16176
Distinct (%)83.5%
Missing1029196
Missing (%)98.2%
Memory size8.0 MiB
2024-07-18T14:23:03.573167image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length173
Median length11
Mean length11.663192
Min length1

Characters and Unicode

Total characters226021
Distinct characters126
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15896 ?
Unique (%)82.0%

Sample

1st row1.54118E+15
2nd row5.27008E+14
3rd rowTours&travels
4th row1.00003E+14
5th row5.42543E+14
ValueCountFrequency (%)
in 645
 
3.2%
1.00002e+14 440
 
2.2%
1.00001e+14 432
 
2.1%
1.00003e+14 368
 
1.8%
1.00004e+14 251
 
1.2%
1e+14 181
 
0.9%
1.00005e+14 174
 
0.9%
1.00006e+14 140
 
0.7%
1.00007e+14 111
 
0.5%
1.00008e+14 90
 
0.4%
Other values (16459) 17488
86.1%
2024-07-18T14:23:04.132340image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 32225
14.3%
4 21267
 
9.4%
. 17253
 
7.6%
E 15572
 
6.9%
+ 15416
 
6.8%
0 14688
 
6.5%
2 11732
 
5.2%
5 10906
 
4.8%
3 8685
 
3.8%
6 8343
 
3.7%
Other values (116) 69934
30.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130437
57.7%
Lowercase Letter 41131
 
18.2%
Other Punctuation 18803
 
8.3%
Uppercase Letter 18480
 
8.2%
Math Symbol 15419
 
6.8%
Space Separator 1678
 
0.7%
Open Punctuation 15
 
< 0.1%
Connector Punctuation 12
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Other Symbol 9
 
< 0.1%
Other values (5) 27
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 15572
84.3%
S 303
 
1.6%
A 254
 
1.4%
I 193
 
1.0%
C 189
 
1.0%
P 182
 
1.0%
R 168
 
0.9%
M 158
 
0.9%
T 154
 
0.8%
L 151
 
0.8%
Other values (32) 1156
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
a 5961
14.5%
i 4179
 
10.2%
m 3920
 
9.5%
o 2750
 
6.7%
n 2613
 
6.4%
l 2551
 
6.2%
r 2067
 
5.0%
c 2064
 
5.0%
e 1990
 
4.8%
g 1967
 
4.8%
Other values (29) 11069
26.9%
Other Punctuation
ValueCountFrequency (%)
. 17253
91.8%
@ 1457
 
7.7%
/ 48
 
0.3%
& 16
 
0.1%
: 10
 
0.1%
' 6
 
< 0.1%
§ 5
 
< 0.1%
* 2
 
< 0.1%
2
 
< 0.1%
2
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 32225
24.7%
4 21267
16.3%
0 14688
11.3%
2 11732
 
9.0%
5 10906
 
8.4%
3 8685
 
6.7%
6 8343
 
6.4%
7 7645
 
5.9%
9 7520
 
5.8%
8 7426
 
5.7%
Math Symbol
ValueCountFrequency (%)
+ 15416
> 99.9%
± 2
 
< 0.1%
= 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 10
66.7%
4
 
26.7%
1
 
6.7%
Other Symbol
ValueCountFrequency (%)
¦ 6
66.7%
2
 
22.2%
® 1
 
11.1%
Currency Symbol
ValueCountFrequency (%)
$ 3
60.0%
1
 
20.0%
¤ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1677
99.9%
  1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 7
87.5%
1
 
12.5%
Initial Punctuation
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Final Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Control
ValueCountFrequency (%)
˜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166410
73.6%
Latin 59500
 
26.3%
Cyrillic 111
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 15572
26.2%
a 5961
 
10.0%
i 4179
 
7.0%
m 3920
 
6.6%
o 2750
 
4.6%
n 2613
 
4.4%
l 2551
 
4.3%
r 2067
 
3.5%
c 2064
 
3.5%
e 1990
 
3.3%
Other values (42) 15833
26.6%
Common
ValueCountFrequency (%)
1 32225
19.4%
4 21267
12.8%
. 17253
10.4%
+ 15416
9.3%
0 14688
8.8%
2 11732
 
7.1%
5 10906
 
6.6%
3 8685
 
5.2%
6 8343
 
5.0%
7 7645
 
4.6%
Other values (35) 18250
11.0%
Cyrillic
ValueCountFrequency (%)
Г 18
16.2%
џ 13
 
11.7%
Е 10
 
9.0%
р 10
 
9.0%
а 6
 
5.4%
в 5
 
4.5%
Љ 4
 
3.6%
Ш 4
 
3.6%
Щ 3
 
2.7%
Ї 3
 
2.7%
Other values (19) 35
31.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225866
99.9%
Cyrillic 111
 
< 0.1%
None 21
 
< 0.1%
Punctuation 20
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Currency Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 32225
14.3%
4 21267
 
9.4%
. 17253
 
7.6%
E 15572
 
6.9%
+ 15416
 
6.8%
0 14688
 
6.5%
2 11732
 
5.2%
5 10906
 
4.8%
3 8685
 
3.8%
6 8343
 
3.7%
Other values (68) 69779
30.9%
Cyrillic
ValueCountFrequency (%)
Г 18
16.2%
џ 13
 
11.7%
Е 10
 
9.0%
р 10
 
9.0%
а 6
 
5.4%
в 5
 
4.5%
Љ 4
 
3.6%
Ш 4
 
3.6%
Щ 3
 
2.7%
Ї 3
 
2.7%
Other values (19) 35
31.5%
None
ValueCountFrequency (%)
¦ 6
28.6%
§ 5
23.8%
˜ 5
23.8%
± 2
 
9.5%
® 1
 
4.8%
  1
 
4.8%
¤ 1
 
4.8%
Punctuation
ValueCountFrequency (%)
5
25.0%
4
20.0%
2
 
10.0%
2
 
10.0%
2
 
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%

Twitter
Text

MISSING 

Distinct6731
Distinct (%)85.6%
Missing1040714
Missing (%)99.3%
Memory size8.0 MiB
2024-07-18T14:23:04.587961image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length57
Median length43
Mean length18.335581
Min length1

Characters and Unicode

Total characters144136
Distinct characters82
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6691 ?
Unique (%)85.1%

Sample

1st rowmdsaifuddin5732@gmail.com
2nd row1.00001E+14
3rd rowj.ravikumar2217@gmail.com
4th rowdevarajag93@gmail.com
5th rowmaheshpushpa1992@gmail.com
ValueCountFrequency (%)
1.00002e+14 224
 
2.8%
1.00001e+14 207
 
2.6%
1.00003e+14 171
 
2.1%
1.00004e+14 118
 
1.5%
in 80
 
1.0%
1.00007e+14 70
 
0.9%
1.00005e+14 68
 
0.8%
1e+14 59
 
0.7%
1.00006e+14 55
 
0.7%
1.00008e+14 47
 
0.6%
Other values (6837) 6969
86.4%
2024-07-18T14:23:05.057220image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 14733
 
10.2%
m 11004
 
7.6%
i 8414
 
5.8%
. 8383
 
5.8%
1 7249
 
5.0%
o 6442
 
4.5%
l 6196
 
4.3%
0 5934
 
4.1%
c 5295
 
3.7%
g 5132
 
3.6%
Other values (72) 65354
45.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 91503
63.5%
Decimal Number 32943
 
22.9%
Other Punctuation 12939
 
9.0%
Uppercase Letter 3555
 
2.5%
Math Symbol 2765
 
1.9%
Space Separator 323
 
0.2%
Connector Punctuation 94
 
0.1%
Dash Punctuation 6
 
< 0.1%
Currency Symbol 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 14733
16.1%
m 11004
12.0%
i 8414
 
9.2%
o 6442
 
7.0%
l 6196
 
6.8%
c 5295
 
5.8%
g 5132
 
5.6%
r 4317
 
4.7%
n 3962
 
4.3%
h 3759
 
4.1%
Other values (17) 22249
24.3%
Uppercase Letter
ValueCountFrequency (%)
E 2797
78.7%
S 92
 
2.6%
A 85
 
2.4%
R 57
 
1.6%
P 53
 
1.5%
M 50
 
1.4%
C 40
 
1.1%
I 38
 
1.1%
T 36
 
1.0%
N 35
 
1.0%
Other values (17) 272
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 7249
22.0%
0 5934
18.0%
4 4088
12.4%
5 2674
 
8.1%
2 2511
 
7.6%
9 2324
 
7.1%
3 2169
 
6.6%
7 2039
 
6.2%
8 1994
 
6.1%
6 1961
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 8383
64.8%
@ 4517
34.9%
/ 25
 
0.2%
: 8
 
0.1%
& 3
 
< 0.1%
' 2
 
< 0.1%
# 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 2764
> 99.9%
= 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
323
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 95051
65.9%
Common 49078
34.0%
Cyrillic 7
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 14733
15.5%
m 11004
11.6%
i 8414
 
8.9%
o 6442
 
6.8%
l 6196
 
6.5%
c 5295
 
5.6%
g 5132
 
5.4%
r 4317
 
4.5%
n 3962
 
4.2%
h 3759
 
4.0%
Other values (41) 25797
27.1%
Common
ValueCountFrequency (%)
. 8383
17.1%
1 7249
14.8%
0 5934
12.1%
@ 4517
9.2%
4 4088
8.3%
+ 2764
 
5.6%
5 2674
 
5.4%
2 2511
 
5.1%
9 2324
 
4.7%
3 2169
 
4.4%
Other values (18) 6465
13.2%
Cyrillic
ValueCountFrequency (%)
Г 5
71.4%
ђ 1
 
14.3%
Њ 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144126
> 99.9%
Cyrillic 7
 
< 0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 14733
 
10.2%
m 11004
 
7.6%
i 8414
 
5.8%
. 8383
 
5.8%
1 7249
 
5.0%
o 6442
 
4.5%
l 6196
 
4.3%
0 5934
 
4.1%
c 5295
 
3.7%
g 5132
 
3.6%
Other values (66) 65344
45.3%
Cyrillic
ValueCountFrequency (%)
Г 5
71.4%
ђ 1
 
14.3%
Њ 1
 
14.3%
Punctuation
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 10
Text

MISSING 

Distinct124
Distinct (%)0.9%
Missing1035163
Missing (%)98.7%
Memory size8.0 MiB
2024-07-18T14:23:05.276250image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length23
Median length22
Mean length2.4480316
Min length1

Characters and Unicode

Total characters32833
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)0.8%

Sample

1st rowuser
2nd row0.9
3rd row0.9
4th row0
5th row0
ValueCountFrequency (%)
0 6610
49.5%
0.9 3883
29.1%
user 2117
 
15.9%
verified 551
 
4.1%
college 20
 
0.1%
premium 7
 
0.1%
university 7
 
0.1%
construction 4
 
< 0.1%
mechanic 3
 
< 0.1%
service 3
 
< 0.1%
Other values (125) 138
 
1.0%
2024-07-18T14:23:05.604672image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10634
32.4%
. 3967
 
12.1%
9 3920
 
11.9%
e 3319
 
10.1%
r 2718
 
8.3%
s 2152
 
6.6%
u 2136
 
6.5%
i 1174
 
3.6%
v 568
 
1.7%
d 559
 
1.7%
Other values (47) 1686
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15018
45.7%
Lowercase Letter 13638
41.5%
Other Punctuation 3973
 
12.1%
Space Separator 109
 
0.3%
Uppercase Letter 86
 
0.3%
Math Symbol 7
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3319
24.3%
r 2718
19.9%
s 2152
15.8%
u 2136
15.7%
i 1174
 
8.6%
v 568
 
4.2%
d 559
 
4.1%
f 555
 
4.1%
n 71
 
0.5%
l 70
 
0.5%
Other values (14) 316
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
C 27
31.4%
E 12
14.0%
U 7
 
8.1%
M 6
 
7.0%
F 4
 
4.7%
T 4
 
4.7%
H 4
 
4.7%
I 4
 
4.7%
L 3
 
3.5%
P 3
 
3.5%
Other values (6) 12
14.0%
Decimal Number
ValueCountFrequency (%)
0 10634
70.8%
9 3920
 
26.1%
3 106
 
0.7%
1 75
 
0.5%
4 54
 
0.4%
6 52
 
0.3%
5 52
 
0.3%
2 45
 
0.3%
8 41
 
0.3%
7 39
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 3967
99.8%
& 3
 
0.1%
@ 2
 
0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
109
100.0%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19109
58.2%
Latin 13724
41.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3319
24.2%
r 2718
19.8%
s 2152
15.7%
u 2136
15.6%
i 1174
 
8.6%
v 568
 
4.1%
d 559
 
4.1%
f 555
 
4.0%
n 71
 
0.5%
l 70
 
0.5%
Other values (30) 402
 
2.9%
Common
ValueCountFrequency (%)
0 10634
55.6%
. 3967
 
20.8%
9 3920
 
20.5%
109
 
0.6%
3 106
 
0.6%
1 75
 
0.4%
4 54
 
0.3%
6 52
 
0.3%
5 52
 
0.3%
2 45
 
0.2%
Other values (7) 95
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10634
32.4%
. 3967
 
12.1%
9 3920
 
11.9%
e 3319
 
10.1%
r 2718
 
8.3%
s 2152
 
6.6%
u 2136
 
6.5%
i 1174
 
3.6%
v 568
 
1.7%
d 559
 
1.7%
Other values (47) 1686
 
5.1%

Unnamed: 11
Text

MISSING 

Distinct57
Distinct (%)0.8%
Missing1041161
Missing (%)99.3%
Memory size8.0 MiB
2024-07-18T14:23:05.792176image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length30
Median length1
Mean length2.2379282
Min length1

Characters and Unicode

Total characters16592
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)0.6%

Sample

1st row0.9
2nd row0
3rd row0
4th row0.9
5th row0
ValueCountFrequency (%)
0 3948
53.6%
0.9 2371
32.2%
user 729
 
9.9%
verified 229
 
3.1%
premium 7
 
0.1%
services 3
 
< 0.1%
store 3
 
< 0.1%
andhra 3
 
< 0.1%
pradesh 3
 
< 0.1%
college 3
 
< 0.1%
Other values (57) 65
 
0.9%
2024-07-18T14:23:06.168701image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6380
38.5%
. 2401
 
14.5%
9 2385
 
14.4%
e 1240
 
7.5%
r 995
 
6.0%
s 746
 
4.5%
u 742
 
4.5%
i 485
 
2.9%
v 237
 
1.4%
d 237
 
1.4%
Other values (37) 744
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8956
54.0%
Lowercase Letter 5107
30.8%
Other Punctuation 2402
 
14.5%
Space Separator 93
 
0.6%
Uppercase Letter 32
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1240
24.3%
r 995
19.5%
s 746
14.6%
u 742
14.5%
i 485
 
9.5%
v 237
 
4.6%
d 237
 
4.6%
f 229
 
4.5%
n 25
 
0.5%
o 24
 
0.5%
Other values (12) 147
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
C 6
18.8%
P 5
15.6%
E 4
12.5%
M 4
12.5%
A 3
9.4%
U 2
 
6.2%
H 2
 
6.2%
G 2
 
6.2%
S 2
 
6.2%
I 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
0 6380
71.2%
9 2385
 
26.6%
3 44
 
0.5%
6 25
 
0.3%
7 25
 
0.3%
2 21
 
0.2%
5 21
 
0.2%
4 21
 
0.2%
1 20
 
0.2%
8 14
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 2401
> 99.9%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
93
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11453
69.0%
Latin 5139
31.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1240
24.1%
r 995
19.4%
s 746
14.5%
u 742
14.4%
i 485
 
9.4%
v 237
 
4.6%
d 237
 
4.6%
f 229
 
4.5%
n 25
 
0.5%
o 24
 
0.5%
Other values (23) 179
 
3.5%
Common
ValueCountFrequency (%)
0 6380
55.7%
. 2401
 
21.0%
9 2385
 
20.8%
93
 
0.8%
3 44
 
0.4%
6 25
 
0.2%
7 25
 
0.2%
2 21
 
0.2%
5 21
 
0.2%
4 21
 
0.2%
Other values (4) 37
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6380
38.5%
. 2401
 
14.5%
9 2385
 
14.4%
e 1240
 
7.5%
r 995
 
6.0%
s 746
 
4.5%
u 742
 
4.5%
i 485
 
2.9%
v 237
 
1.4%
d 237
 
1.4%
Other values (37) 744
 
4.5%

Unnamed: 12
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct24
Distinct (%)0.7%
Missing1045043
Missing (%)99.7%
Memory size8.0 MiB
0
2396 
0.9
757 
user
255 
verified
 
81
 
22
Other values (19)
 
21

Length

Max length22
Median length1
Mean length1.8544734
Min length1

Characters and Unicode

Total characters6550
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0.9
4th row0.9
5th row0

Common Values

ValueCountFrequency (%)
0 2396
 
0.2%
0.9 757
 
0.1%
user 255
 
< 0.1%
verified 81
 
< 0.1%
22
 
< 0.1%
premium 3
 
< 0.1%
0.3117503 1
 
< 0.1%
Consulting 1
 
< 0.1%
18 1
 
< 0.1%
0.5491378 1
 
< 0.1%
Other values (14) 14
 
< 0.1%
(Missing) 1045043
99.7%

Length

2024-07-18T14:23:06.309652image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 2396
68.2%
0.9 757
 
21.5%
user 255
 
7.3%
verified 81
 
2.3%
premium 3
 
0.1%
and 1
 
< 0.1%
bank 1
 
< 0.1%
0.30825663 1
 
< 0.1%
0.312846 1
 
< 0.1%
technology 1
 
< 0.1%
Other values (16) 16
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 3166
48.3%
. 765
 
11.7%
9 759
 
11.6%
e 424
 
6.5%
r 345
 
5.3%
u 259
 
4.0%
s 259
 
4.0%
i 175
 
2.7%
d 84
 
1.3%
f 83
 
1.3%
Other values (34) 231
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3979
60.7%
Lowercase Letter 1768
27.0%
Other Punctuation 766
 
11.7%
Space Separator 25
 
0.4%
Uppercase Letter 9
 
0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 424
24.0%
r 345
19.5%
u 259
14.6%
s 259
14.6%
i 175
9.9%
d 84
 
4.8%
f 83
 
4.7%
v 82
 
4.6%
n 15
 
0.8%
m 8
 
0.5%
Other values (10) 34
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 3166
79.6%
9 759
 
19.1%
3 11
 
0.3%
7 8
 
0.2%
8 8
 
0.2%
1 7
 
0.2%
2 6
 
0.2%
4 6
 
0.2%
6 5
 
0.1%
5 3
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
22.2%
U 1
11.1%
T 1
11.1%
N 1
11.1%
E 1
11.1%
C 1
11.1%
I 1
11.1%
B 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 765
99.9%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4773
72.9%
Latin 1777
 
27.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 424
23.9%
r 345
19.4%
u 259
14.6%
s 259
14.6%
i 175
9.8%
d 84
 
4.7%
f 83
 
4.7%
v 82
 
4.6%
n 15
 
0.8%
m 8
 
0.5%
Other values (18) 43
 
2.4%
Common
ValueCountFrequency (%)
0 3166
66.3%
. 765
 
16.0%
9 759
 
15.9%
25
 
0.5%
3 11
 
0.2%
7 8
 
0.2%
8 8
 
0.2%
1 7
 
0.1%
2 6
 
0.1%
4 6
 
0.1%
Other values (6) 12
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3166
48.3%
. 765
 
11.7%
9 759
 
11.6%
e 424
 
6.5%
r 345
 
5.3%
u 259
 
4.0%
s 259
 
4.0%
i 175
 
2.7%
d 84
 
1.3%
f 83
 
1.3%
Other values (34) 231
 
3.5%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1047413
Missing (%)99.9%
Memory size8.0 MiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048162
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048457
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048531
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048555
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048561
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048564
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048568
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048569
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048571
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048571
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048571
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048572
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 26
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1048574
Missing (%)> 99.9%
Memory size8.0 MiB
0.9

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row0.9

Common Values

ValueCountFrequency (%)
0.9 1
 
< 0.1%
(Missing) 1048574
> 99.9%

Length

2024-07-18T14:23:06.434683image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-18T14:23:06.528412image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
ValueCountFrequency (%)
0.9 1
100.0%

Most occurring characters

ValueCountFrequency (%)
0 1
33.3%
. 1
33.3%
9 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1
50.0%
9 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1
33.3%
. 1
33.3%
9 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1
33.3%
. 1
33.3%
9 1
33.3%

Unnamed: 27
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1048574
Missing (%)> 99.9%
Memory size8.0 MiB
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row0.0

Common Values

ValueCountFrequency (%)
0.0 1
 
< 0.1%
(Missing) 1048574
> 99.9%

Length

2024-07-18T14:23:06.622212image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-18T14:23:06.700406image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2
66.7%
. 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2
66.7%
. 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2
66.7%
. 1
33.3%

Unnamed: 28
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1048574
Missing (%)> 99.9%
Memory size8.0 MiB
2024-07-18T14:23:06.778410image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowuser
ValueCountFrequency (%)
user 1
100.0%
2024-07-18T14:23:06.997952image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 1
25.0%
s 1
25.0%
e 1
25.0%
r 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
s 1
25.0%
e 1
25.0%
r 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 1
25.0%
s 1
25.0%
e 1
25.0%
r 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 1
25.0%
s 1
25.0%
e 1
25.0%
r 1
25.0%

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048573
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1048572
Missing (%)> 99.9%
Memory size8.0 MiB

Unnamed: 31
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing1048573
Missing (%)> 99.9%
Memory size8.0 MiB
0.9
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row0.9
2nd row0.0

Common Values

ValueCountFrequency (%)
0.9 1
 
< 0.1%
0.0 1
 
< 0.1%
(Missing) 1048573
> 99.9%

Length

2024-07-18T14:23:07.123656image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-18T14:23:07.217440image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
ValueCountFrequency (%)
0.9 1
50.0%
0.0 1
50.0%

Most occurring characters

ValueCountFrequency (%)
0 3
50.0%
. 2
33.3%
9 1
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
75.0%
9 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3
50.0%
. 2
33.3%
9 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
50.0%
. 2
33.3%
9 1
 
16.7%

Unnamed: 32
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1048574
Missing (%)> 99.9%
Memory size8.0 MiB
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row0.0

Common Values

ValueCountFrequency (%)
0.0 1
 
< 0.1%
(Missing) 1048574
> 99.9%

Length

2024-07-18T14:23:07.327310image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-18T14:23:07.421086image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2
66.7%
. 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2
66.7%
. 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2
66.7%
. 1
33.3%

Interactions

2024-07-18T14:22:24.759534image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Correlations

2024-07-18T14:23:07.483761image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
NumberUnnamed: 12Unnamed: 31
Number1.0000.0521.000
Unnamed: 120.0521.0001.000
Unnamed: 311.0001.0001.000

Missing values

2024-07-18T14:22:25.605683image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-18T14:22:30.615442image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-07-18T14:22:43.483263image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

NumberCarrierNameGenderAddressJobTitleCompanyNameEmailFacebookTwitterUnnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32
0917032000911AirtelRaj Kumar. MnclNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1917032001170AirtelDevaNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2917032001495AirtelLakshayNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
3917032001483AirtelPrathapNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
4917032001471AirtelShekar ChinnuNaNAndhra Pradesh inNaNNaNshekarchinnu749@gmail.comNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
5917032001466AirtelSubba Rami ReddyNaNAndhra Pradesh inNaNNaNsubbaramireddy0@gmail.comNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
6917032001460AirtelThati VenkateshNaNAndhra Pradesh inNaNNaNthativenkatesh2000@gmail.comNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
7917032001445AirtelJ S AnilNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
8917032001438AirtelSunithaNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
9917032001435AirtelVaiven SmileyNaNAndhra Pradesh inNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
NumberCarrierNameGenderAddressJobTitleCompanyNameEmailFacebookTwitterUnnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32
1048565917995485166AirtelNaNNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048566917995485162AirtelParameshwari BzcNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048567917995485160AirtelMeshak AbrahamNaNAndhra Pradesh inNaNNaNabhiram6691@gmail.comNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048568917995485157AirtelBaby. Lx.NaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048569917995485155AirtelTaillerNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048570917995485149AirtelParameswariNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048571917995485148AirtelT.r.reddy4NaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048572917995485142AirtelN SuresNaNAndhra PradeshNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048573917995485139AirtelP PNaNAndhra Pradesh inNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1048574917995485133AirtelNani NaniNaNAndhra Pradesh inNaNNaNnaninani1199552@gmail.comNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN